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Fan Xu

Jiangxi Normal University

4 papers hereh-index 8209 citations32 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author4

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CL4
affiliations
  • Jiangxi Normal University
same name
  • Fan Xu — 44 papers, h 12
  • Fan Xu — 17 papers, h 5
  • Fan Xu — 15 papers, h 2
  • Fan Xu — 11 papers, h 6
  • Fan Xu — 9 papers, h 9
  • Fan Xu — 8 papers, h 6

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

most citedAn entity-driven recursive neural network model for chinese discourse coherence modeling

3 citations · 4 across the 4 of their papers we have counts for

collaborators

4 papers

cs.CL2026

Low-resource Language Discrimination Towards Chinese Dialects with Transfer learning and Data Augmentation

Fan Xu, Yangjie Dan, Keyu Yan +2

Chinese dialects discrimination is a challenging natural language processing task due to scarce annotation resource. In this article, we develop a novel Chinese dialects discrimina…

cs.CL2026

Speech-Driven End-to-End Language Discrimination towards Chinese Dialects

Fan Xu, Jian Luo, MingWen Wang +1

Language discrimination among similar languages, varieties, and dialects is a challenging natural language processing task. The traditional text-driven focus leads to poor results.…

cs.CL2017★ 3 cited

An entity-driven recursive neural network model for chinese discourse coherence modeling

Fan Xu, Shujing Du, Maoxi Li +1

Chinese discourse coherence modeling remains a challenge taskin Natural Language Processing field.Existing approaches mostlyfocus on the need for feature engineering, whichadoptthe…

cs.CL2017★ 1 cited

Sentence-level dialects identification in the greater China region

Fan Xu, Mingwen Wang, Maoxi Li

Identifying the different varieties of the same language is more challenging than unrelated languages identification. In this paper, we propose an approach to discriminate language…

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